origin's v0.8.0 had cherry-picks of the v0.7.5 deepseek/image-search fixes (a727632a, a5952bc8) overlapping local 2073cf5b / 04f4fbc1, plus new commits (model-selector ark-coding deepseek-v4-pro/flash IDs that ARK rejects, fetch error.cause unwrap, CI agent-native build, op export docs cleanup, main merge). Resolved the ark-coding list in favor of HEAD's deepseek-v3.2 entry (only model ARK Coding Plan actually supports — see openpencil-docs note).
167 lines
6.1 KiB
TypeScript
167 lines
6.1 KiB
TypeScript
#!/usr/bin/env bun
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/**
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* Element-tools A/B corpus eval — harness entry point.
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*
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* Usage:
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* bun scripts/ab-corpus/run.ts --dry-run # stub model, exercises pipeline
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* bun scripts/ab-corpus/run.ts --dry-run --out ./tmp-out # custom output dir
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* bun scripts/ab-corpus/run.ts --models minimax-m2,glm-5 # real run (needs API keys)
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* bun scripts/ab-corpus/run.ts --only mobile-filter-chips # single prompt
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*
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* Spec: ~/workspace/openpencil-docs/superpowers/plans/2026-04-20-element-tools-ab-corpus.md
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*/
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import { mkdirSync } from 'node:fs';
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import { join } from 'node:path';
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import { fileURLToPath } from 'node:url';
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import { parseModelOutput, scoreRun, aggregate, type ScoreRow } from '@zseven-w/pen-ai-skills';
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// Node-only: pulls in `node:fs`, so it's NOT re-exported from the
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// package barrel (which must stay browser-safe for the embedded
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// orchestrator's design-parser). Package.json `exports` only declares
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// the main entry, so sub-path imports via the package name fail at
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// runtime — use a relative path to the source file instead. Harness
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// runs under Bun from the repo root so this path is stable.
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import { loadCorpus } from '../../packages/pen-ai-skills/src/corpus/corpus-loader';
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import { applyToFreshDoc } from './apply';
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import { stubModelCall, type ModelCall } from './stub-model';
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import { realModelCall } from './real-model';
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import { writeReport } from './write-report';
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interface CliArgs {
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dryRun: boolean;
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models: string[];
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only?: string;
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outDir: string;
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corpus: 'ab-v0' | 'ab-v1';
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}
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function parseArgs(argv: string[]): CliArgs {
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const args: CliArgs = {
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dryRun: false,
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// Default matches plan §2 after the 2026-04-20 update: user supplied
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// MiniMax M2.7 as the weak-model candidate and Codex CLI (GPT-5.4)
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// as the reference ceiling. Claude / GLM / KIMI are not in the
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// default set until keys / adapters land.
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models: ['gpt-5.4', 'minimax-m2.7'],
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outDir: defaultOutDir(),
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corpus: 'ab-v0',
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};
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for (let i = 0; i < argv.length; i += 1) {
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const a = argv[i];
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if (a === '--dry-run') args.dryRun = true;
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else if (a === '--models') args.models = (argv[++i] ?? '').split(',').filter(Boolean);
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else if (a === '--only') args.only = argv[++i];
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else if (a === '--out') args.outDir = argv[++i] ?? args.outDir;
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else if (a === '--corpus') {
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const v = argv[++i];
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if (v !== 'ab-v0' && v !== 'ab-v1') {
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process.stderr.write(`--corpus must be 'ab-v0' or 'ab-v1', got: ${v}\n`);
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process.exit(1);
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}
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args.corpus = v;
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} else if (a === '--help' || a === '-h') {
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printUsage();
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process.exit(0);
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}
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}
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return args;
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}
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function defaultOutDir(): string {
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const ts = new Date().toISOString().replace(/[:.]/g, '-');
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return join(fileURLToPath(new URL('.', import.meta.url)), 'runs', ts);
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}
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function printUsage(): void {
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process.stderr.write(
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`Usage: bun scripts/ab-corpus/run.ts [--dry-run] [--models ID,ID,...] [--only prompt-id] [--out DIR] [--corpus ab-v0|ab-v1]\n`,
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);
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}
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async function main(): Promise<void> {
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const args = parseArgs(process.argv.slice(2));
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const corpusDir = join(
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fileURLToPath(new URL('.', import.meta.url)),
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'..',
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'..',
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'packages',
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'pen-ai-skills',
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'corpus',
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args.corpus,
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);
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const prompts = loadCorpus(corpusDir).filter((p) => (args.only ? p.id === args.only : true));
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if (prompts.length === 0) {
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process.stderr.write(
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`No prompts matched (--only=${args.only ?? 'none'}). Corpus dir: ${corpusDir}\n`,
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);
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process.exit(1);
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}
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mkdirSync(args.outDir, { recursive: true });
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process.stderr.write(
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`Running ${prompts.length} prompts × ${args.models.length} models × 2 variants = ${prompts.length * args.models.length * 2} runs\n`,
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);
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process.stderr.write(`Output: ${args.outDir}\n`);
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process.stderr.write(`Mode: ${args.dryRun ? 'DRY-RUN (stub model)' : 'LIVE'}\n\n`);
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// Stream scores to scores.jsonl as each run completes so a
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// kill-at-minute-30 (hung API call, accidental ^C) doesn't lose
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// all results. Final report.md still requires a full sweep for
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// aggregate counts — but scores.jsonl alone is useful for any
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// partial-run analysis.
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const scoresPath = join(args.outDir, 'scores.jsonl');
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// eslint-disable-next-line @typescript-eslint/no-require-imports
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const fs = require('node:fs') as typeof import('node:fs');
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// Truncate on start so a re-run into the same dir overwrites.
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fs.writeFileSync(scoresPath, '', 'utf-8');
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const rows: ScoreRow[] = [];
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for (const prompt of prompts) {
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for (const model of args.models) {
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for (const variant of ['B', 'T'] as const) {
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const call: ModelCall = {
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model,
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prompt,
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variant,
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systemPrompt: '<resolved in dispatcher>',
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userPrompt: prompt.prompt,
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};
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let raw: string;
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try {
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raw = args.dryRun ? await stubModelCall(call) : await realModelCall(call);
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} catch (err) {
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// Network / subprocess failure → treat as garbage so the
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// run still scores (M1=false, routing='garbage' for obvious
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// treatment). Beats aborting a 96-run sweep over one
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// transient failure.
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raw = `__HARNESS_ERROR__: ${err instanceof Error ? err.message : String(err)}`;
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}
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const parsed = parseModelOutput(raw);
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const row = await scoreRun({
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prompt,
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parsed,
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apply: applyToFreshDoc,
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model,
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variant,
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});
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rows.push(row);
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// Append this row to scores.jsonl immediately — durable
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// partial state for crash recovery.
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fs.appendFileSync(scoresPath, JSON.stringify(row) + '\n', 'utf-8');
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}
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}
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process.stderr.write(` · ${prompt.id}\n`);
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}
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const report = aggregate(rows);
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const { mdPath, jsonPath } = writeReport(args.outDir, report);
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process.stderr.write(`\nReport: ${mdPath}\n`);
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process.stderr.write(`JSON: ${jsonPath}\n`);
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process.stderr.write(`Scores: ${join(args.outDir, 'scores.jsonl')}\n`);
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}
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main().catch((err) => {
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process.stderr.write(`\nFATAL: ${err instanceof Error ? err.stack : String(err)}\n`);
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process.exit(1);
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});
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